General Over view A System for Analysis and Diagnosis for Left Ventricular Myocardium from CT Images of Heart

Abstract

Cardiovascular diseases associated with the left ventricle are main reason of deaths in heart diseases. Early diagnosis using advanced technologies will definitely aid in saving many lives. Cardiac computed tomography (CT) images are one of the tools for this function. Automatic segmentation of left ventricular myocardium is carried out from cardiac CT images. The system uses a iterative strategy for localization of left ventricle followed by deformation of myocardial surface to obtain refine segmentation i.e. blood pool surface of the CT image is extracted and triangulated surface is taken as an area of interest. Geometric characterization of triangulated surface gave precise localization of left ventricle. Subsequently, initialization of epicardial and endocacardial masks is done and myocardial wall is extracted.

This paper gives review of different techniques used for segmentation revealed in previously reported literature along with the proposed technology. The proposed system is expected to work based on the standard rules defined by medical experts for disease diagnosis are yet to define.